Evidence map›Paper›PMID 42109300›Full record

ArticleNeurophotonics2026

Zebrafish Ace2N-mNeon expression toolkit for

Zhenzhen Wu, Rui Oliveira Silva, Ruya Houssein, Fabiola Marques Trujillo, Jordan Gotti, Srividya Ganapathy, Zhenyu Gao, Daan Brinks

Abstract read
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Article in Neurophotonics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Zhenzhen WuDelft University of Technology, Department of Imaging Physics, Delft, The Netherlands.ORCID https://orcid.org/0009-0000-4599-4721
Rui Oliveira SilvaDelft University of Technology, Department of Imaging Physics, Delft, The Netherlands.ORCID https://orcid.org/0000-0001-5470-778X
Ruya HousseinDelft University of Technology, Department of Imaging Physics, Delft, The Netherlands.
Fabiola Marques TrujilloDelft University of Technology, Department of Imaging Physics, Delft, The Netherlands.
Jordan GottiDelft University of Technology, Department of Imaging Physics, Delft, The Netherlands.ORCID https://orcid.org/0009-0002-3181-2901
Srividya GanapathyDelft University of Technology, Department of Imaging Physics, Delft, The Netherlands.
Zhenyu GaoErasmus University Medical Center, Department of Neuroscience, Rotterdam, The Netherlands.
Daan BrinksDelft University of Technology, Department of Imaging Physics, Delft, The Netherlands.ORCID https://orcid.org/0000-0002-5550-5140

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Bioelectricity is a fundamental biophysical property of cells that shapes embryogenesis through neuronal signaling and tissue patterning. Yet techniques for cell-resolved, millisecond-scale voltage imaging in early embryos remain limited. Aim: To address this need, we developed a zebrafish expression toolkit for the genetically encoded voltage indicator (GEVI) Ace2N-mNeon, which provides membrane-localized fluorescence from 4 hours post-fertilization (hpf) and supports both broad and promoter-driven, cell-type-specific expression. Approach: This toolkit is built as a small Tol2-based promoter panel, placing Ace2N-mNeon under commonly used zebrafish promoters, and can be delivered by standard Tol2 microinjection workflows. This toolkit spans multiple embryonic tissues; here, we focus on neurons and cardiomyocytes as examples. Results: Using high-speed Conclusions: Collectively, these findings establish the Ace2N-mNeon expression toolkit as a practical resource for

Indexed as

bioelectricityembryogenesisgenetically encoded voltage indicator (GEVIs)in vivo voltage imagingzebrafish

Identifiers

PMID42109300
PMCPMC13157250

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.